AI training contract
Subject Matter Expert – Medicine & Biostatistics Chart Analysis
Science & Research · USD 25-50 an hour. · 50 openings
Subject Matter Expert – Medicine & Biostatistics Chart Analysis is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential, medical licence. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 25 to USD 50 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Chart interpretation accuracy, Multi-step quantitative reasoning, Question design / unambiguous task construction, Domain-specific terminology precision, remote collaboration.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Subject Matter Expert – Medicine & Biostatistics Chart Analysis Role Type: Contractor Location: Remote micro1 is selecting Subject Matter Expert – Medicine & Biostatistics Chart Analysis professionals to contribute advanced domain insights to a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Interpret complex medical and biostatistical charts, including Kaplan-Meier curves, forest plots, ROC curves, hazard-ratio plots, and similar clinical or epidemiological visualizations, with professional accuracy. Draft clear, objective, and multi-step analytical questions based on intricate visual data, requiring quantitative reasoning and detailed interpretation beyond basic data extraction. Deliver precise, unambiguous answers accompanied by comprehensive, step-by-step explanations in expert-level written English, outlining calculations, statistical inferences, or clinical judgment. Apply domain-specific medical and biostatistical terminology, ensuring accurate reference to units, scales, confidence intervals, p-values, and annotations across all deliverables. Design reasoning tasks that emphasize graphical interpretation, comparisons, calculations, trend analysis, and data interpolation, while strictly avoiding subjective or ambiguous phrasing. Collaborate remotely and reliably with project teams via written and verbal channels, actively incorporating feedback and upholding consistent, high-quality communication. Produce verifiable reasoning assignments that directly support training and evaluation use cases for advanced AI models. Preferred Qualifications Bachelor's, Master's, or Doctoral degree (MD, MPH, PhD, or equivalent) in Medicine, Epidemiology, Biostatistics, Public Health, or a closely related quantitative or clinical field. Two or more years of professional, academic, or research experience interpreting clinical trial data, survival analyses, or epidemiological visualizations. Demonstrated advanced skill with axes, legends, units, scales, confidence intervals, and statistical annotations in medical charts (e.g., Kaplan-Meier, forest, ROC curves). Proven ability to clearly articulate analytical processes and provide clinical or biostatistical reasoning in high-quality written and spoken English. Bilingual proficiency in English and, ideally, a second language relevant to medical or research practice. Experience in technical documentation, scientific publishing, assessment or analytical task development, or structured data annotation for clinical, research, or AI-focused projects. Background in producing benchmark questions, technical reports, or data annotation tasks for medical, clinical research, or AI model development engagements.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.